Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add 0x-Professor/Agent-Skills-Hub --skill pentest-injection-enginegit clone --depth 1 https://github.com/0x-Professor/Agent-Skills-HubWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/0x-professor/agent-skills-hub/pentest-injection-engine)<a href="https://agentmods.dev/skills/0x-professor/agent-skills-hub/pentest-injection-engine"><img src="https://agentmods.dev/badge/skills/0x-professor/agent-skills-hub/pentest-injection-engine/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/0x-professor/agent-skills-hub/pentest-injection-engine"><img src="https://agentmods.dev/badge/skills/0x-professor/agent-skills-hub/pentest-injection-engine.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00032 | $0.00321 |
| Opus 5 | $0.00016 | $0.00161 |
| Sonnet 5 | $0.00006 | $0.00064 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
pentest-injection-engine scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Pentest Injection Engine
Stage
- PTES: 5
- MITRE: T1190, T1059
Objective
Validate injection exploitability and capture payload-level evidence.
Required Workflow
- Validate scope before any active action and reject out-of-scope targets.
- Run only authorized checks aligned to PTES, OWASP WSTG, NIST SP 800-115, and MITRE ATT&CK.
- Write findings in canonical finding_schema format with reproducible PoC notes.
- Honor dry-run mode and require explicit --i-have-authorization for live execution.
- Export deterministic artifacts for downstream skill consumption.
Execution
python skills/pentest-injection-engine/scripts/injection_engine.py --scope scope.json --target <target> --input <path> --output <path> --format json --dry-run
Outputs
injection-findings.jsonxss-payloads-that-fired.jsoninjection-report.json
References
references/tools.mdskills/autonomous-pentester/shared/scope_schema.jsonskills/autonomous-pentester/shared/finding_schema.json
Legal and Ethical Notice
WARNING AUTHORIZED USE ONLY
This skill executes real security testing tools against live targets.
Use only with written authorization.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 51 lines · 32 tokens per session scan A 704f0b00636b
pentest-injection-engine is a skill published in the GitHub repository 0x-Professor/Agent-Skills-Hub (10 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 32 tokens to every session and 321 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
baoyu-youtube-transcript
A tool for downloading the written captions, subtitles, chapter information, speaker labels, and cover image from a YouTube video using its URL or ID.
baoyu-slide-deck
Generates professional slide deck images from content. Creates outlines with style instructions, then generates individual slide images. Use when user asks to "create slides", "make a presentation", "generate deck", "slide deck", or "PPT".
baoyu-xhs-images
A tool that breaks content into a series of illustrated image cards for Xiaohongshu, a Chinese social platform also called Little Red Book, and similar social posts.
release-skills
A release workflow for preparing and publishing a new version of a software project. A release is a named version that may include updated version files, release notes, tags, or a GitHub Release.
baoyu-comic
A tool for creating original educational comics that explain knowledge or ideas through multiple illustrated panels. It supports different art styles and tones and can create several comics in one batch.
baoyu-cover-image
Generates article cover images with 5 dimensions (type, palette, rendering, text, mood) combining 11 color palettes and 7 rendering styles. Supports cinematic (2.35:1), widescreen (16:9), and square (1:1) aspects. Use when user asks to "generate cover image", "create article cover", or "make cover".